The exponential growth of machine data from modern IT infrastructure, including logs from applications, servers, and network devices, presents a signi.
This volume and complexity of the data make it difficult for IT teams to manually analyze the logs to identify critical errors and anomalies promptly. Traditional log analysis methods are labor-intensive and often fall short of providing timely, accurate, and correlated insights from different log streams, leading to potential system downtime, vulnerabilities, and inefficiencies. In this video, we discuss an AI-based IT Log Analyzer that can serve as a critical tool for IT departments, enabling efficiency, accuracy, scalability, AI-based correlation, and enhanced user experience. This proof of concept and demo was developed in partnership with Scalers AI.
Негізгі бет Ғылым және технология Chat with your apps and infrastructure - Using LLMs and RAG to parse, correlate, and analyze logs
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